<template>
  <div class="Section">
    <h1 class="font-m f36">Section 1 Introduction</h1>
    <p class="f20 font-m">1.4 Technical Architecture of the AITEP Platform</p>
    <div>
      <p class="f16 font-m subheading">1.4.1 Modular Design</p>
      <p class="f16 font-r main_text">
        The AITEP platform adopts a modular design where each module works
        collaboratively to form a complete toxicological evaluation process. The
        main modules of the platform include:
      </p>
      <div v-for="(i, index) in list0" :key="index">
        <p class="f16 font-m subheading">
          {{ i.title }}
        </p>
        <p class="f16 font-r main_text">
          {{ i.text }}
        </p>
      </div>
    </div>
    <div>
      <p class="f16 font-m subheading">
        1.4.2 Data Security and Privacy Protection
      </p>
      <p class="f16 font-r main_text">
        The AITEP platform has been designed with comprehensive considerations
        for data security and privacy protection. All toxicological data and
        reports are encrypted and stored on cloud servers that meet
        international data security standards. The platform also employs
        multi-layered security measures to prevent unauthorized access and data
        breaches. Pharmaceutical manufacturers and other users can use the AITEP
        platform with confidence, without worrying about data security issues.
      </p>
    </div>
  </div>
</template>
<script setup>
const list0 = [
  {
    title: "· DP2 Distributed Network Scraping System:",
    text: "This module is responsible for retrieving toxicological literature and data from multiple global databases. This data is automatically collected through web scraping technology and stored on the platform for subsequent analysis.",
  },
  {
    title: "· ToxiClassify:",
    text: "This is the filtering module of the platform, responsible for screening relevant toxicological information from the vast amount of data retrieved. By utilizing natural language processing technology, this module can automatically identify and categorize important toxicological parameters.",
  },
  {
    title: "· RiskSmart:",
    text: "RiskSmart is the core data processing module of the platform, responsible for analyzing the filtered toxicological data and extracting key parameters for Permitted Daily Exposure (PDE).",
  },
  {
    title: "· PDEscribe: ",
    text: "The PDEscribe module is responsible for generating PDE reports. These reports detail the potential impacts of drug residues on human health and provide the calculated Permitted Daily Exposure (PDE) based on this data.",
  },
];
</script>
